TY - JOUR
T1 - Capacity of hybrid cognitive radio networks with distributed VAAs
AU - Hong, Xuemin
AU - Wang, Cheng Xiang
AU - Uysal, Murat
AU - Ge, Xiaohu
AU - Ouyang, Shan
N1 - Funding Information:
Manuscript received November 3, 2009; revised February 27, 2010 and May 25, 2010; accepted May 31, 2010. Date of publication June 14, 2010; date of current version September 17, 2010. The work of X. Hong and C.-X. Wang was supported by the Scottish Funding Council for the Joint Research Institute in Signal and Image Processing with the University of Edinburgh, as part of the Edinburgh Research Partnership in Engineering and Mathematics (ERPem). The work of X. Hong, C.-X. Wang, and X. Ge (Corresponding author) was supported by the RCUK for the U.K.–China Science Bridges: R&D on (B)4G Wireless Mobile Communications. The work of M. Uysal was supported in part by the Natural Sciences and Engineering Research Council of Canada under Discovery Grants Accelerator Supplement 363168-2008. The work of X. Ge was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 60872007, by the National 863 High Technology Program of China under Grant 2009AA01Z239, and by the Ministry of Science and Technology (MOST) of China, International Science and Technology Collaboration Program, under Grant 0903. The work of S. Ouyang was supported in part by the National Basic Research Program of China “973” under Grant 2008CB317109, by Guangxi Science Foundation under Grant 0991241, by NSFC under Grants 60872022 and 60972084, and by the Foundation of Guangxi Key Laboratory of Information and Communication under Grant 10903. The work of C.-X. Wang and S. Ouyang was supported by the Key Laboratory of Cognitive Radio and Information Processing (Guilin University of Electronic Technology), Ministry of Education. The review of this paper was coordinated by Prof. B. Hamdaoui.
PY - 2010/7/1
Y1 - 2010/7/1
N2 - A cooperative hybrid cognitive radio (CR) network is proposed to simultaneously operate on a dedicated licensed band and a secondary band. The licensed band is used for communications between a base station (BS) and mobile CR users, whereas the secondary band is used to facilitate the licensed band communication by coordinating multiple CR users to form distributed virtual antenna arrays (VAAs). The capacity of the proposed CR network is studied at both the link and system levels. At the link level (single VAA case), we present an amplify-and-forward-based cooperative signaling scheme that employs power control to prevent harmful noise propagation. The resulting virtual multiple-inputmultiple-output (MIMO) link capacity is derived and compared with the real MIMO system. At the system level (multiple VAAs case), the system capacity is derived as a function of multiple parameters, including the primary user density, CR user density, primary exclusion region radius, and VAA radius. Under an average interference power constraint, the maximum system capacity is further calculated by solving an optimization problem with adjustable system parameters. Numerical studies reveal that the proposed cooperative hybrid CR network has a fundamental advantage over a pure CR network by being insensitive to the characteristics of the coexisting primary network. This merit, however, relies on a high CR user density and a wide bandwidth of the secondary band.
AB - A cooperative hybrid cognitive radio (CR) network is proposed to simultaneously operate on a dedicated licensed band and a secondary band. The licensed band is used for communications between a base station (BS) and mobile CR users, whereas the secondary band is used to facilitate the licensed band communication by coordinating multiple CR users to form distributed virtual antenna arrays (VAAs). The capacity of the proposed CR network is studied at both the link and system levels. At the link level (single VAA case), we present an amplify-and-forward-based cooperative signaling scheme that employs power control to prevent harmful noise propagation. The resulting virtual multiple-inputmultiple-output (MIMO) link capacity is derived and compared with the real MIMO system. At the system level (multiple VAAs case), the system capacity is derived as a function of multiple parameters, including the primary user density, CR user density, primary exclusion region radius, and VAA radius. Under an average interference power constraint, the maximum system capacity is further calculated by solving an optimization problem with adjustable system parameters. Numerical studies reveal that the proposed cooperative hybrid CR network has a fundamental advantage over a pure CR network by being insensitive to the characteristics of the coexisting primary network. This merit, however, relies on a high CR user density and a wide bandwidth of the secondary band.
KW - Capacity analysis
KW - cognitive radio (CR) network
KW - multiple-input multiple-output (MIMO)
KW - virtual antenna array (VAA)
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U2 - 10.1109/TVT.2010.2053056
DO - 10.1109/TVT.2010.2053056
M3 - Article
AN - SCOPUS:77956724859
SN - 0018-9545
VL - 59
SP - 3510
EP - 3523
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
M1 - 5484533
ER -